Exploring Epidemiological Determinants of COVID-19: Clustering and Correlation of Multifaceted Factors

This study employs clustering and correlation analysis to explore the factors contributing to COVID-19 mortality rates. Findings reveal that countries with a larger proportion of elderly citizens, elevated rates of cardiovascular deaths, heightened prevalence of diabetes, a higher smoking population, lower GDP per capita, and reduced life expectancies tend to exhibit higher COVID-19 mortality rates. Additionally, the study categorizes countries into three clusters based on mortality rates: mild, moderate, and severe. A strong correlation is found between the prevalence of underlying diseases and COVID-19 mortality rates, while a weaker correlation is observed with environmental health indicators, such as air quality and sanitation. These insights are crucial for devising targeted public health strategies to alleviate the impacts of COVID-19 and safeguard vulnerable demographics. The strategic insights derived from this analysis have the potential to be instrumental for policymakers, facilitating the crafting of tailored, need-based policies and interventions, thereby optimizing the efficacy and impact of public health strategies in navigating the complexities of the COVID-19 pandemic.